Abstract
The normalisation method for speaker verification proposed in this paper is based on the idea of the noise clustering method in fuzzy clustering. The proposed method can reduce false acceptance errors and apply to all current normalisation scores. Experiments performed on the ANDOSL and YOHO speech corpora show better results for the proposed method.
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© 2002 Springer-Verlag Berlin Heidelberg
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Tran, D., Wagner, M. (2002). Noise Clustering-Based Speaker Verification. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_43
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DOI: https://doi.org/10.1007/3-540-45631-7_43
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